Qwen Qwen Image Edit 2509 speed on RTX 4060 Ti 8GB and quantization-level VRAM fit.
RTX 4060 Ti 8GB meets the minimum VRAM requirement for Q4 inference of Qwen Qwen Image Edit 2509. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4060 Ti 8GB can run Qwen Qwen Image Edit 2509 with Q4 quantization. At approximately 38 tokens/second, you can expect Moderate speed - useful for batch processing.
VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 8GB | 37.89 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 8GB | 26.53 tok/s | ❌ Not recommended |
| FP16 | 18GB | 8GB | 14.40 tok/s | ❌ Not recommended |
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RTX 4060 Ti 8GB can run Qwen Qwen Image Edit 2509 at Q4 with an estimated 38 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while RTX 4060 Ti 8GB has 8GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.